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ATHK1001 Assignment
Creation date：2024-06-13 16:06:34
Belonging category：管理Management
Assignment

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Assignment 1 FAQ vers1.0 

1 
FAQ for ATHK1001 Assignment 1
1. Where do I submit my assignment? Via Canvas from the same page where you found
the materials Assignment 1. If you go to the ATHK1001 Canvas website and look under the
“Other Assessments” tab click on “Assignment 1”. At the bottom of this page is the place
where you can drag your file to upload and submit it.
DO NOT TRY TO SUBMIT YOUR ASSIGNMENT BY E-MAILING IT TO A TUTOR OR
INSTRUCTOR. We cannot accept submissions directly. They must be made via Canvas and
the time they count as submitted is the time that Canvas records.
2. What file format should I use? The submission link will only accept PDF files. Your file
should just be text, there should be no tables or images, except that you can use an image for
the graph requested in Question 3. If you include other images it is possible we will not be
able to mark your assignment.
3. When should I submit my assignment? By the 11:59pm Thursday 28/3/2024 (Australian
Standard Time), but try to submit well beforehand. Avoid leaving it to last minute. With any
computer system delays, problems, or confusion can occur, especially if this is the first time
you are submitting to Canvas. Computer/internet problems are not considered grounds for an
extension unless they affect all students. Canvas records the exact time of your submission,
so if it is even one second past the deadline then it counts as a day late.
4. How do I know I have successfully submitted my assignment in Canvas? As far as I
can see, once you have uploaded your file and made sure you have clicked the box to agree
with the end-users statement, you then click “Submit Assignment”. You then see some digital
confetti and the page displays your submission. Make sure that you submitted the correct file,
every year there are a few students who submit the assignment description instead of their
own answers, or assignments for other classes. If you want to replace you submission before
the deadline then return to this page and click “New attempt”.
5. Should I upload an Excel file? No. Given that you will most likely be doing your
calculations in Excel I can understand why this question is asked. However, the assignment
description says you should answer the questions using complete sentences, so you should
take what you calculate from Excel and use it to answer questions in the document you will
submit. You do not need to show your calculations, just the values you calculate in order to
answer the questions. For Question 3, where you are asked to create a graph, you should copy
the graph created into your submission. Note that you are not required to use excel to do your
analysis, if you prefer to use a different program to do your analysis then that is fine.
6. Should I put my name on my assignment? No, Canvas will keep track of who the
submission is by. We mark your assignments anonymously so you should not break that
anonymity by putting your name on your assignment.
7. Should I repeat the questions when giving my answer? No, just give the question
number. We have the assignment, so we don’t need the question to be repeated. Repeating
questions will reduce the number of words you have available within the word limit, and lead
to the Turnitin software giving us a plagiarism warning.
8. Could I use a graph, table, or point form to present statistics? All questions on the
assignment must be answered using prose and full sentences, except for the graph requested
Assignment 1 FAQ vers1.0 
2 
in Question 3. A sentence must include a verb. This is because the results of statistical
analysis are usually reported in sentences, and we need consistency given that everyone has
the same word limit.
9. How can I make sure I will receive all the marks available for a question? It is
important to read the questions on the assignment carefully and note that there are often
different parts. Receiving full marks will require you to respond correctly to all parts of the
question.
For example, note that Question 2 asks you to “Report the p-value for the t-test and state
clearly whether or not Hypothesis 1 was supported, and state why.’ It is worth three marks, so
you can expect there to be a mark for giving the correct p-value, a mark for a correct
statement regarding Hypothesis 1 (it was or was not supported), and a mark for stating why
(such as that the H0 of no difference was rejected or retained).
For some questions there is only one correct answer (e.g., when we ask you to calculate a
mean) but other questions may have multiple good answers. This is particularly the case
when we ask what you think the data tells us in Questions 5, 11 and 12. For these questions
we are not looking for a single correct answer, instead we are giving you an opportunity to
use your judgement and your understanding of your statistical analysis to tell us what you
think the results means for the questions the experiment set out to address.
10. How many decimal places should I use when reporting results? We have specified
that you give results to three decimal places unless you need more in order to report the result
accurately.
11. If I find a very small p-value, how do I report it? For p-values you would generally
report them to at least three or four decimal places, but sometimes those decimal places are
all zero. One convention is that if the p-value is zero to at least four decimal places, then it
may be expressed as “p < .0001”.
12. What does it mean if Excel gives me a weird number like 1.2345E-67? For very small
and very large numbers Excel can present numbers using scientific notation, with “E”
meaning exponential. Therefore, what 1.2345E-17 means is that the number is 1.2345 times
10 raised to the -17th power (i.e., 1.2345 x 1/100000000000000000, a very small number). If
you don’t like this way of displaying the number then change the cell format from “general”
to “number” and specify an appropriate number of decimal places (do this by right clicking in
the cell then choosing “Format cell”).
13. Which type of t-test do I use and how do I carry it out? The assignment requires you
to carry out two t-test so you have to decide which type of t-test is appropriate in each case.
The materials for Week 5 tutorials give examples of each type of t-test and how to carry out
the statistical tests, so you can use these materials as a model for how to do these analyses. In
particular, the handout shows how to carry out both paired and two sample t-tests. Note that
on the Week 5 Tutorial Canvas page there are links to files giving answers to the exercises
for Week 5.
If you are using an older version of Excel or not using Windows then it is possible that the
function names are not identical to the ones we have given you. For example, the t-test
function used to be called “ttest” rather than “t.test”. We can’t give you all the possible
Assignment 1 FAQ vers1.0 
3 
variations, but normally the names of the functions are very similar across the versions of
Excel, so it should be easy to find the equivalent functions. To make sure that a function
works as expected you can test them using the data from Week 5 tutorials to make sure that
they produce the expected output.
14. How do I test the hypotheses about correlations? The tutorial materials for Week 5
specify a procedure for calculating a p-value for a correlation by first converting it into a t-
score. You can follow this procedure but if you find another way to do this then that is fine,
as long as it produces the right answers. You can check your procedure by testing it on the
correlation questions in the Week 5 tutorial handout.
15. Do I specify one-tailed or two-tailed when using the t-test function? Use two-tailed even
though the prediction may have a direction. Using a one-tailed test implies that a result in the opposite
direction to predicted would be ignored, which is rarely the case.
16. Do the three issues for Question 10 need to be distinct? Yes, the assignment description says
“identify three different issues” so you will lose marks if you just present variations on the same issue.
If you are not sure if your issues are distinct then ask your tutor. This question is worth 12 marks in
total but it is really three 4-mark questions, with 4 marks allocated to each possible problem you
identify.
17. How do we present Issues 1,2, and 3 in Question 10? Clearly label each one ‘Issue 1”,
Issue 2” and “Issue 3” and to make it really clear put them into separate paragraphs. If you
use material from lectures when answering this question then you do not need to give
citations, but if you use material from outside of lectures then you should provide the citation.
18. Is there any leeway in the 1000-word limit? No. Part of the assignment task is writing
to a word limit, so you will be penalized if you exceed the word limit by any amount. The
assignment description specified the size of the penalties. Note that Question 13 does not
count towards the word limit because if you read more we don’t want to penalize you when
you cite what you have read.
19. Is there a penalty for having an assignment that is too short? There is no penalty for
using less than 1000 words for the assignment. If you can answer the questions effectively
with fewer words then that is fine.
20. Do in-text citations count towards the word limit. Yes. If you are unsure what counts
towards the word limit, then ask.
21. Do I have to find more papers about moral reasoning or utilitarianism? No, all you
have to read are the Andrade (2019) and Everett and Kahane (2020) paper we cited in the
assignment description, and which you must refer to when answering Questions 11 and 12.
Reading more might help you with the questions asking you to make an evaluation, however,
doing so is not required and you could answer these questions effectively just based on what
you have been given.
If you use words or ideas from something you have read then you must properly cite the
source and include it as part of your reference list in Question 13. Otherwise, you are
plagiarising and may be penalized.
22. Can I talk to other students and still avoid plagiarising? You can discuss the
assignment with other students, but you must write your own assignment. To minimize the
Assignment 1 FAQ vers1.0 
 
risk of plagiarism you should not exchange electronic copies (e.g., files, e-mails, texting) of
you answers with other students.
23. My assignment is going to be late, can I have an extension? If something unexpected
arises then you should apply for special consideration. 
As stated on the assignment description, late assignments are penalized 5% of the available
marks per day. However, you may decide that it is better to submit an assignment late than
one that may not yield many marks.
I believe you can expect a quick response, but you must apply before the deadline for
submission.
24. What is a strong and what is a weak correlation? This is not an easy question to
answer because it very much depends on the nature of the data and what your goal is.
However, one rule of thumb suggests that a statistically significant correlation is described as
“weak” if it is between 0 and 0.30 (or -0.30), “moderate” if between .30 and .50 (or -0.30 and
-0.50) and “strong” if higher than 0.50 (or -0.50). However, ultimately the person conducting
the analysis uses their judgement to give an interpretation to a correlation coefficient.
25. What is relative permissibility? The relative permissibility of taking the action is the
permissibility of taking the action minus the permissibility of not taking the action (i.e.,
permissibility action relative to non-action). The column “Permissibility relative” in the data
file contains the result of this calculation. Notice that there are essentially two halves to the
analysis. In Question 1-5 you deal with just “Permissibility action” and “Permissibility no
action” and ignore the One-off/Repeat condition and the OUS scales. The goal of this part of
the assignment is to ask a methodological question, do we need to measure the permissibility
of both “action” and “no action” so that we can calculate “relative” permissibility? In
Question 5 you draw your own conclusion regarding this question.
After Question 5 we only analyse relative permissibility and how it relates to our
manipulations and the OUS, which is what we had decided to do when we setup the
experiment and had not yet seen the data. (Note that you can bring up data issues related to
any hypothesis in Question 10.)
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MAS316/414 ACCT2522 MSIN0181 ATMS 201 COMP3425 MATH7861 SOLA2060 MA 325 7CCEMCTH ECON 432 INFT2051 SOLA 2060 ECOS2002 Stats141XP BIOA02H3 S2022 MA4601 K5 COMP5329 EG 284 IB3A70 WECO1020 COMP3027 Energy ACS61011 MAST20026 STAT 533 MATA31 ENVS257 BEM2031 EC 486 COMP0172 CS3214 EECE5644 IB2B20 COSC2536 COSC1147 COMP6214 5CCM242A COMP0130 AMME2000 MTMG50: EG238 ACF6006 QBUS2810 COSC2391 ECON7560 MATH377 STA305 CS 486 COMP1117B EL648 ELEC3909 ECON 241 COMP 4901W BUSI4428 ENEN20002 ENGN4524 ELEC3115 CSC 413 PSYC 100B ECON1002 MATH256 ANSC20005 MTHS2008 MATH40082 COSC 2406 FIT3174 STA 238 CMT202 Differential Equations MTHM017 GARCH 101 MATH2069 CSC336S ACSC12 ETF2121 CEME 2001 DB B474F ARHT1001 EECS 3311 3220 STATS 786 CS 484 COMP20008 MATH4091 ECE 455 CSCI 204 BUS B200F BA 875 BU5562 COSC 1147 X11 GEOG 101 IMM250F CSE 584A MATH38172 LAB 4 ELEC5882M FINS5523 EE 430 COMP 465 6CCS3PRE 7CCSMNSE FINANCE ACMB02H3 ENGG2112 ELEC5616 SCM B371 CHEM3120 CS22 ECMT2130 MAST30011 ADSPBF706 CENG0013 ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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COMSM0093 COMP281 AFM 333 IBUS1001 CP2501 Math 105A VE320 TEC101 SOCY2166 COM240 EFIM20033 ENGI4467 EFIM20034 EC 979 BE432 7EJ502 CSSE6400 COMP90025 Econ 312 ENG2031 ECO0006 EXERSCI 207 CAN209 ECO 137W FT312 ECO 2199 MATH32052 BDW4213 APS 360 SAS 6 CHME0017 PO92Q Economics 01AV MATH39512 MATH 5486 COMP8620 ISE102 ECON235 ECON 206 FI 345 PHAY0020 MATH0099 MATH0085 EFB106 PHY 134 MAE115 circuits Chemistry CSE12 MATH-UA 233 PHAS0038 COMP2140 CONMGNT 7049 COMP151101 ECON 485 ACX5903 ENGN6536 ARCH1162 Law PHAS0042 CCF1C03 MATH 351 Phys 139 AG942 MGT001371 APH106 ECON1051 MA4AM MA3Z7 NUMBER THEORY REST0006 SESS0026 STAT0023 TABL 2741 CMP4008Y EFIM10015 Acct 560 PSYC735 GEOG 5 ACCT3104 CSEC5616 PHIL1012 ITLS6111 ECON8022 5CCM226A compX123 MA4XJ R001 EWB LLP120 COMP643 ENG 103 ECON 23950 ACCT 207 FINC 616 Bio99 Math 137A Psychology BCPM0054 MATH20212 EC3450 CENV6141 PSY 205 CE335 CS365 Calculus ACSD INFT6800 MCIT INFO6030 PHYS 111LV H63EEJ ECON2151 ENGI 2181 MTRX1701 PLIT08009 CS240 Math 270 CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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